Speaker Recognition Method Combining FFT, Wavelet Functions and Neural Networks

Domitrovic H, Grubesa S, Grubesa T. Speaker Recognition Method Combining FFT, Wavelet Functions and Neural Networks. In: AES Conference: 26th International Conference: Audio Forensics in the Digital Age. Audio Engineering Society; 2005. Paper 2-2. Available from: https://aes.org/publications/elibrary-page/?id=13250

@inproceedings{Domitrovic2005_13250,
  author = {Domitrovic, Hrvoje and Grubesa, Sanja and Grubesa, Tomislav},
  title = {{Speaker Recognition Method Combining FFT, Wavelet Functions and Neural Networks}},
  booktitle = {AES Conference: 26th International Conference: Audio Forensics in the Digital Age},
  note = {Paper 2-2},
  year = {2005},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13250}
}

TY  - CPAPER
TI  - Speaker Recognition Method Combining FFT, Wavelet Functions and Neural Networks
AU  - Domitrovic, Hrvoje
AU  - Grubesa, Sanja
AU  - Grubesa, Tomislav
T2  - AES Conference: 26th International Conference: Audio Forensics in the Digital Age
M1  - Paper 2-2
PY  - 2005
DA  - 2005/07/06
UR  - https://aes.org/publications/elibrary-page/?id=13250
PB  - Audio Engineering Society
LA  - en
AB  - The method of speaker recognition based on wavelet functions and neural networks is presented in this paper. The wavelet functions are used to obtain the approximation function and the details of the speaker’s averaged spectrum in order to extract speaker’s voice characteristics from the frequency spectrum. The approximation function and the details are then used as input data for decision-making neural networks. In this recognition process, not only the decision on the speaker’s identity is made, but also the probability that the decision is correct can be provided.
ER  -